Planning and Scheduling Optimization
Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary...
-д хадгалсан:
| Формат: | Online |
|---|---|
| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20220111_9783036523378_773 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869514529130414080 |
|---|---|
| collection | Directory of Open Access Books |
| description | Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development. |
| format | Online |
| id | doab-20.500.12854ir-76941 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-769412024-04-09T23:16:19Z Planning and Scheduling Optimization Yalaoui, Farouk Arbaoui, Taha Ouazene, Yassine supply chain optimization oil and gas supply chain maintenance scheduling operation planning energy order picking wave planning warehouses distribution centers mixed integer programming non-linear programming Hadi-Vencheh model multiple criteria ABC inventory classification nonlinear weighted product model building material distributors central composite design (CCD) Box–Behnken design (BBD) optimal cost customer service level forecasting order planning inventory management resource-constrained project scheduling problem discounted cash flow maximization milestones payments simulated annealing algorithm slotting storage strategies stackability SKU product family heuristic metaheuristics scheduling injection molding hospital catering production scheduling flexible job shop problem mathematical model genetic algorithm local search method iterated local search algorithm competitive hub location problem network design food systems rural development mathematical programming crow search process planning operation sequencing precedence constraints manufacturing scheduling smart manufacturing intelligent manufacturing systems scheduling requirements cyber-physical production systems postman delivery vehicle routing problem particle swarm optimization algorithm differential evolution algorithm multi-criteria optimization simulation optimization production control multiple flexible job shop scheduling priority rules smart health care systems planning logistic systems benchmark workload balancing identical parallel machines normalized sum of square for workload deviations maximum completion time minimum completion time terminal location intermodal transportation simulated annealing mixed integer program incomplete networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development. 2022-01-11T13:47:08Z 2022-01-11T13:47:08Z 2021 book ONIX_20220111_9783036523378_773 9783036523378 9783036523385 https://directory.doabooks.org/handle/20.500.12854/76941 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4532 https://mdpi.com/books/pdfview/book/4532 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2338-5 10.3390/books978-3-0365-2338-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036523378 9783036523385 344 Basel, Switzerland open access |
| spellingShingle | supply chain optimization oil and gas supply chain maintenance scheduling operation planning energy order picking wave planning warehouses distribution centers mixed integer programming non-linear programming Hadi-Vencheh model multiple criteria ABC inventory classification nonlinear weighted product model building material distributors central composite design (CCD) Box–Behnken design (BBD) optimal cost customer service level forecasting order planning inventory management resource-constrained project scheduling problem discounted cash flow maximization milestones payments simulated annealing algorithm slotting storage strategies stackability SKU product family heuristic metaheuristics scheduling injection molding hospital catering production scheduling flexible job shop problem mathematical model genetic algorithm local search method iterated local search algorithm competitive hub location problem network design food systems rural development mathematical programming crow search process planning operation sequencing precedence constraints manufacturing scheduling smart manufacturing intelligent manufacturing systems scheduling requirements cyber-physical production systems postman delivery vehicle routing problem particle swarm optimization algorithm differential evolution algorithm multi-criteria optimization simulation optimization production control multiple flexible job shop scheduling priority rules smart health care systems planning logistic systems benchmark workload balancing identical parallel machines normalized sum of square for workload deviations maximum completion time minimum completion time terminal location intermodal transportation simulated annealing mixed integer program incomplete networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Planning and Scheduling Optimization |
| title | Planning and Scheduling Optimization |
| title_full | Planning and Scheduling Optimization |
| title_fullStr | Planning and Scheduling Optimization |
| title_full_unstemmed | Planning and Scheduling Optimization |
| title_short | Planning and Scheduling Optimization |
| title_sort | planning and scheduling optimization |
| topic | supply chain optimization oil and gas supply chain maintenance scheduling operation planning energy order picking wave planning warehouses distribution centers mixed integer programming non-linear programming Hadi-Vencheh model multiple criteria ABC inventory classification nonlinear weighted product model building material distributors central composite design (CCD) Box–Behnken design (BBD) optimal cost customer service level forecasting order planning inventory management resource-constrained project scheduling problem discounted cash flow maximization milestones payments simulated annealing algorithm slotting storage strategies stackability SKU product family heuristic metaheuristics scheduling injection molding hospital catering production scheduling flexible job shop problem mathematical model genetic algorithm local search method iterated local search algorithm competitive hub location problem network design food systems rural development mathematical programming crow search process planning operation sequencing precedence constraints manufacturing scheduling smart manufacturing intelligent manufacturing systems scheduling requirements cyber-physical production systems postman delivery vehicle routing problem particle swarm optimization algorithm differential evolution algorithm multi-criteria optimization simulation optimization production control multiple flexible job shop scheduling priority rules smart health care systems planning logistic systems benchmark workload balancing identical parallel machines normalized sum of square for workload deviations maximum completion time minimum completion time terminal location intermodal transportation simulated annealing mixed integer program incomplete networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | supply chain optimization oil and gas supply chain maintenance scheduling operation planning energy order picking wave planning warehouses distribution centers mixed integer programming non-linear programming Hadi-Vencheh model multiple criteria ABC inventory classification nonlinear weighted product model building material distributors central composite design (CCD) Box–Behnken design (BBD) optimal cost customer service level forecasting order planning inventory management resource-constrained project scheduling problem discounted cash flow maximization milestones payments simulated annealing algorithm slotting storage strategies stackability SKU product family heuristic metaheuristics scheduling injection molding hospital catering production scheduling flexible job shop problem mathematical model genetic algorithm local search method iterated local search algorithm competitive hub location problem network design food systems rural development mathematical programming crow search process planning operation sequencing precedence constraints manufacturing scheduling smart manufacturing intelligent manufacturing systems scheduling requirements cyber-physical production systems postman delivery vehicle routing problem particle swarm optimization algorithm differential evolution algorithm multi-criteria optimization simulation optimization production control multiple flexible job shop scheduling priority rules smart health care systems planning logistic systems benchmark workload balancing identical parallel machines normalized sum of square for workload deviations maximum completion time minimum completion time terminal location intermodal transportation simulated annealing mixed integer program incomplete networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036523378_773 |